Merga Hailu, Degefa Teshome, Birhanu Zewdie, Lee Ming-Chieh, Yan Guiyun, Yewhalaw Delenasaw
Department of Epidemiology, Institute of Health, Jimma University, Jimma, Ethiopia.
School of Medical Laboratory Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
Malar J. 2025 Aug 18;24(1):264. doi: 10.1186/s12936-025-05508-1.
Malaria control in African cities faces challenges mainly due to rapid and unplanned urbanization and the spread of the new urban malaria vector, Anopheles stephensi. By 2050, nearly 70% of the world`s population will live in urban areas, a significant increase from the current rate. This systematic review and meta-analysis map the epidemiology of urban malaria in sub-Saharan Africa (SSA). The review included individual participants data from studies conducted in urban settings among all populations to characterize and establish pooled estimates of the prevalence and risk factors, which would help guiding strategies for malaria control and elimination in urban settings.
An exhaustive literature search was done in PubMed, Medline EBSCO, Google Scholar, Science Direct, and Cochrane Library databases. The Joanna Briggs Institute (JBI) guidelines were followed for evidence selection, data extraction, quality assessment and presentation of findings. Peer-reviewed and gray literature published in English since 2000 focusing on urban malaria Epidemiology in SSA was included in the review. Microsoft Excel 2016 spreadsheet and Stata statistical package were used to extract and analyze data, respectively. Potential sources of heterogeneity and publication bias were assessed. A random effects model was employed for the meta- analysis.
Of the 2,468 records identified from various databases, 39 articles were selected for systematic review and meta-analysis. The overall pooled prevalence of urban malaria in SSA was 23.01% (95% CI: 19.42, 26.59; I = 99.8%, p < 0.0001). Substantial heterogeneity was observed (I = 99.8%), indicating considerable variability in population and methods employed. Among two studies included for analysis, a random effect model showed that odds of malaria infection were higher among study participants who had history of travel (POR = 4.17 (95% CI: 2.33, 7.46, I = 75.5%, p = 0.002). Similarly, five studies were included in the review and showed that owning livestock in the house was associated with malaria infection in urban settings (POR = 4.1, 95% CI: 1.62, 10.39; I = 75.3%, p = 0.044).
This systematic review and meta-analysis showed a high prevalence of urban malaria infection in SSA with high country-wise heterogeneity. While country-level differences contributed to this variability, other important sources of heterogeneity included variations in population included, method employed and population characteristics. The pooled estimate showed that having a travel history and owning livestock in the house were identified as factors associated with urban malaria infection. Therefore, effective urban malaria control requires an integrated and targeted approach that addresses socio-economic, environmental and behavioural drivers.
非洲城市的疟疾防控面临诸多挑战,主要原因是快速且无序的城市化进程以及新型城市疟疾传播媒介——斯氏按蚊的扩散。到2050年,全球近70%的人口将居住在城市地区,这一比例相较于当前有显著增长。本系统综述和荟萃分析描绘了撒哈拉以南非洲(SSA)城市疟疾的流行病学特征。该综述纳入了在城市环境中针对所有人群开展的研究中的个体参与者数据,以描述并确定患病率及风险因素的汇总估计值,这将有助于指导城市环境中疟疾防控与消除策略。
在PubMed、Medline EBSCO、谷歌学术、Science Direct和Cochrane图书馆数据库中进行了详尽的文献检索。遵循乔安娜·布里格斯研究所(JBI)指南进行证据筛选、数据提取、质量评估及结果呈现。纳入了自2000年以来以英文发表的、聚焦于SSA城市疟疾流行病学的同行评审文献和灰色文献。分别使用Microsoft Excel 2016电子表格和Stata统计软件包来提取和分析数据。评估了异质性和发表偏倚的潜在来源。荟萃分析采用随机效应模型。
从各个数据库中识别出的2468条记录里,有39篇文章被选入系统综述和荟萃分析。SSA城市疟疾的总体汇总患病率为23.01%(95%置信区间:19.42,26.59;I² = 99.8%,p < 0.0001)。观察到存在显著异质性(I² = 99.8%),表明所采用的人群和方法存在相当大的变异性。在纳入分析的两项研究中,随机效应模型显示有旅行史的研究参与者感染疟疾的几率更高(优势比 = 4.17(95%置信区间:2.33,7.46,I² = 75.5%,p = 0.002)。同样,五项研究纳入该综述并表明,在城市环境中家中饲养牲畜与疟疾感染有关(优势比 = 4.1,95%置信区间:1.62,10.39;I² = 75.3%,p = 0.044)。
本系统综述和荟萃分析表明,SSA城市疟疾感染患病率较高,且各国之间存在高度异质性。虽然国家层面的差异导致了这种变异性,但其他重要的异质性来源包括纳入人群的差异、所采用的方法以及人群特征。汇总估计显示,有旅行史和家中饲养牲畜被确定为与城市疟疾感染相关的因素。因此,有效的城市疟疾防控需要一种综合且有针对性的方法,以应对社会经济、环境和行为驱动因素。